{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pymatbridge as pymat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting MATLAB on ZMQ socket ipc:///tmp/pymatbridge-13a5236e-5f5a-4b58-a712-84cca5314f75\n",
      "Send 'exit' command to kill the server\n",
      "..............MATLAB started and connected!\n"
     ]
    }
   ],
   "source": [
    "ip = get_ipython()\n",
    "pymat.load_ipython_extension(ip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JEyCjL0PiHgJWEDRFWeCcBrjDYDEd5L9mYeq+qqYRVy9QLHueKH5/zZXWW8vUuPNQa1Ig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\nymApFAppUAZLoVBIgzJYCoVCGv4/ywisxEuyE80AAAAASUVORK5CYII=\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%matlab --size 400,350\n",
    "t = linspace(0,6*pi,100);\n",
    "plot(sin(t))\n",
    "grid on\n",
    "hold on\n",
    "plot(cos(t), 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rBjEMiFynu0gGRE7NuARhAiHAFDRAVQAsFstf//rXHTt2OB8sLS3Nz88fPHhw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\nAIIgiKSgACAIgkjK/wEH/MzXi5T25AAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matlab b = 10*cos(t)+30; plot(b); grid on"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a = [1,2,3]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%%matlab -i a -o b\n",
    "b = a + 3;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 4.  5.  6.]]\n"
     ]
    }
   ],
   "source": [
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
